Brandon Amos is a Member of Technical Staff in Post-Training at Reflection AI in NYC. His research spans machine learning, optimization, reinforcement learning, and control with the goal of building safe intelligent systems that understand and interact with our world. Previously, he was a Research Scientist in Fundamental AI Research (FAIR) at Meta Superintelligence Labs, a Visiting Lecturer at Cornell Tech, and has also worked at Adobe Research, Google DeepMind, and Intel Labs. He holds a Ph.D. in Computer Science from Carnegie Mellon University and was supported by the NSF Graduate Research Fellowship (GRFP). He has received best paper awards at the ICML Theoretical Foundations Workshop and ACM MMSys, best reviewer awards at NeurIPS, ICML, ICLR, and AISTATS, and is an area chair for AAAI, AISTATS, ICML, ICLR, and NeurIPS.